Abstract
This paper presents a context-aware text summarizer based on ontologies intended to be used for adapting information to mobile devices. The system generates summaries from texts according to the profile of the user and the context where he/she is at the moment. Context is determined by spatial and temporal localization. Ontologies are used to allow identifying which parts of the texts are related to the user's profile and to the context. Ontologies are structured as hierarchies of concepts and concepts are represented by keywords with a weight associated. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Garcia, L. F. F., De Lima, J. V., Loh, S., & De Oliveira, J. P. M. (2008). Using ontological modeling in a context-aware summarization system to adapt text for mobile devices. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4512 LNCS, pp. 144–154). https://doi.org/10.1007/978-3-540-77503-4_12
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